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, enabling multi-vessel charging and scalable maritime electrification. Advanced control strategies and data-driven optimization methods will be considered to enhance the efficiency, sustainability, and
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visions is to use artificial spin systems as a platform for efficient and powerful data analysis at all scales, ranging from low-power computation in the simplest sensor node to accelerated data processing
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efforts to contribute to safer marine operations, we actively explore possibilities to utilize both numerical and machine learning methods to enhance the accuracy and resolution of metocean forecasts. About
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primary focus of the project, but complementary research on parallel systems may be developed. The project will add an important evolutionary component to ongoing interdisciplinary research on Arctic
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NTNU 30th April 2025 Languages English English English We are looking for a PhD Candidate in Computational Modelling of Thin-Film Magnetic Materials Apply for this job See advertisement This is NTNU
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the position. The position will be supervised by Prof. Casper Boks from the Department of Design and Assistant Professor Erica Löfström from the Department of Psychology. The Head of Department will be your
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the position. The position will be supervised by Prof. Casper Boks from the Department of Design and Dr. Stepan Vesely from the Department of Psychology. The Head of Department will be your immediate superior
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document that you are particularly suitable for a PhD education You must meet the requirements for admission to the PhD programme in Medicine and Health Sciences Good oral and written presentation skills in
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complex operational environments. Focus will be given to methods that can derive useful engineering information for the continuously updated digital twins using mechanical response data and environmental
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of these limitations and to test it in a real building. The final objective is to provide thorough documentation of the scalable MPC workflow and test case. The supervision team is Prof. Laurent